Josh A. Izaac

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 9 papers; trusts 54 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Josh A. Izaac trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Edward Farhi
  2. Maria Schuld
  3. Nathan Killoran
  4. Jarrod R. McClean
  5. Ville Bergholm
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Kosuke Mitarai
  9. Alberto Peruzzo
  10. Geoffrey E. Hinton

Who trusts Josh A. Izaac overall

  1. Maria Schuld
  2. Andrea Mari
  3. Nathan Killoran
  4. Ville Bergholm
  5. M. Cerezo
  6. Thomas R. Bromley
  7. Lennart Bittel
  8. David Wierichs
  9. Tak Hur
  10. Seth Lloyd

Papers from Josh A. Izaac's perspective

Ordered by how strongly the researchers Josh A. Izaac trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Gradient-based learning applied to document recognition

Their papers